Using the UML to model knowledge in agent systems

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Using the UML to model knowledge in agent systems

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International Conference on Autonomous Agents archive
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1 table of contents

Bologna, Italy

SESSION: Session 1A: agent oriented software engineering table of contents

Pages: 41 - 42

Year of Publication: 2002

ISBN:1-58113-480-0

Authors

Clint Heinze	University of Melbourne, Carlton, Australia
Leon Sterling	University of Melbourne, Carlton, Australia

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery

Publisher

ACM New York, NY, USA

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ABSTRACT

The UML has been used to model the knowledge required to engineer agent systems. The UML provides mechanisms for modelling the knowledge about a domain, partitioning the knowledge into appropriate packages and providing a means of moving from analysis to design. This paper argues that the UML is a suitable language for knowledge modelling in agent systems and provides details of the techniques and extensions employed. By modifying and applying commonly used mainstream modelling languages such as the UML tool and methodology support for the construction of agent systems can be leveraged from existing practices.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Odell, J., Parunak, H. and Bauer, B. Extending the UML for Agents. In Proceedings of AOIS Workshop at AAAI. 2000.
	2	Clinton Heinze , Michael Papasimeon , Simon Goss, Specifying Agent Behaviour with Use Cases, Proceedings of the Third Pacific Rim International Workshop on Multi-Agents: Design and Applications of Intelligent Agents, p.128-142, August 28-29, 2000
	3	Michael Papasimeon , Clint Heinze, Extending the UML for Designing Jack Agents, Proceedings of the 13th Australian Conference on Software Engineering, p.89, August 27-28, 2001
	4	Cranefield, S. and Purvis, M. UML as an ontology modelling language. In Proceedings of the Workshop on Intelligent Information Integration, 16th International Joint Conference on Artificial Intelligence (IJCAI-99), 1999
	5	Gil Tidhar , Clint Heinze , Simon Goss , Graeme Murray , Dino Appla , Ian Lloyd, Using intelligent agents in military simulation or “using agents intelligently”, Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence, p.829-836, July 18-22, 1999, Orlando, Florida, United States
	6	Rumbaugh, J. Trends in UML and e-development. The Rational Edge, December 2000.